Provides robust K Means clustering capabilities. Cluster your game data into meaningful groups.
📦 Demo(Packaged .exe) | 🎥 Overview Video(3Mins) | 🎥 Tutorial Video(21Mins) | 📄 Quick Start Guide | 📄 Technical Documentation | 💬 Discord Support
🎁🎉🎊🎖️ Showcase product during 23 January 2024 - 6 February 2024 🎁🎉🎊🎖️
Provides robust K Means clustering capabilities right within the editor. Cluster your game data into meaningful groups for analysis, AI behavior design, procedural content creation and more. Includes multi-threaded 2D & 3D clustering for performance along with Blueprint nodes for easy access.
Features:
✅ (V3 Update) Access the Default Shape Dataset (Sphere, Pyramid, Torus, Cylinder, Cone, Conical Frustum, 3D Pinched Torus, Klein Bottle, Möbius Strip)
✅ Perform fast K Means clustering in 2D & 3D directly on point datasets
✅ Multi-threaded processing handles large data sets without blocking game thread
✅ Blueprint nodes give you easy access for scripting cluster analysis
✅ Easy tune number of clusters, iterations and convergence criteria
✅ Get callbacks when clustering calculations complete
✅ Helper methods to generate random input point sets
✅ Extendable C++ API for advanced use cases
Code Modules:
Number of Blueprints: 1
Number of C++ Classes: 8 Classes
Network Replicated: No (But it is easy to replicate)
Supported Development Platforms: Win64, Mac, Linux
Supported Target Build Platforms: Win64, HoloLens, Mac, IOS, Android, Linux, LinuxArm64, TVOS
Video: Overview Video(3Mins) | Tutorial Video(21Mins)
Documentation: Super Quick Start Guide | Discord Support | Technical Documentation
Example Project: Demo(Packaged .exe)